Martin Christen
Employers on the program
- 2023Universitry of Applied Sciences and Arts Northwestern Switzerland. Institute Geomatics1 talk
- 2019–2022FHNW5 talks
Appearances by year
- PyData
- EuroPython
- GeoPython
- PyCon (national Python conferences)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Apr 17, 2023 | PyCon DE & PyData Berlin 2023 | PyData | tutorial | Geospatial Data Processing with Python: A Comprehensive Tutorial as Universitry of Applied Sciences and Arts Northwestern Switzerland. Institute Geomatics. In this tutorial, you will learn about the various Python modules for processing geospatial data, including GDAL, Rasterio, Pyproj, Shapely, Folium, Fiona,…Show lessIn this tutorial, you will learn about the various Python modules for processing geospatial data, including GDAL, Rasterio, Pyproj, Shapely, Folium, Fiona, OSMnx, Libpysal, Geopandas, Pydeck, Whitebox, ESDA, and Leaflet. | |
| Mar 6, 2023 | GeoPython 2023 | GeoPython | speaker | Conference Closing | |
| Mar 6, 2023 | GeoPython 2023 | GeoPython | workshop | Geospatial Data Processing in Python | |
| Jun 20, 2022 | GeoPython 2022 | GeoPython | workshop | Applied Semantic Segmentation for Large Scale Aerial Imagery | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | talk | Creating 3D Maps using Python as FHNW - University of Applied Sciences and Arts Northwestern Switzerland Create 3DMaps anywhere on the planet using Python and OpenData | |
| Jul 23, 2020 | EuroPython 2020 Online | EuroPython | talk | pyRT - Computer Graphics in Jupyter Notebooks for Fun and Teaching as FHNW PyRT (pronounced pirate) is a raytracer/image generator for Python 3.5 and higher. This project is mainly done with the following in mind: | SlidesVideo |
| Oct 9, 2019 | PyCon DE & PyData Berlin 2019 | PyData | talk | Detecting and Analyzing Solar Panels in Switzerland using Aerial Imagery as FHNW - University of Applied Sciences and Arts Northwestern Switzerland Detecting Solar Panels from aerial imagery using Python DeepLearning CrowdSourcing | |
| Jul 8, 2019 | EuroPython 2019 | EuroPython | talk | Geospatial Analysis using Python and JupyterHub as FHNW - University of Applied Sciences and Arts Geospatial data is data containing a spatial component – describing objects with a reference to the planet's surface. This data usually consists of a spatial…Show lessGeospatial data is data containing a spatial component – describing objects with a reference to the planet's surface. This data usually consists of a spatial component, of various attributes, and sometimes of a time reference (where, what, and when). | Video |
| May 24, 2019 | PyCon Lithuania 2019 | PyCon (national Python conferences) | talk | Geodata processing using Python and JupyterHub as FHNW Geospatial data is data containing a spatial component – describing objects with a reference to the planet's surface. This data usually consists of a spatial…Show lessGeospatial data is data containing a spatial component – describing objects with a reference to the planet's surface. This data usually consists of a spatial component, of various attributes, and sometimes of a time reference (where, what, and when). Efficient processing and visualization of... |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alexander CS Hendorf | 5 | — | 2023 |
| Miroslav Šedivý | 5 | — | 2023 |
| Alejandro Saucedo | 4 | — | 2023 |
| Joris Van den Bossche | 4 | — | 2023 |
| Mike Müller | 4 | — | 2023 |
| Dom Weldon | 4 | — | 2022 |
| Anmol Krishan Sachdeva | 3 | — | 2023 |
| Cheuk Ting Ho | 3 | — | 2023 |
| Florian Wilhelm | 3 | — | 2023 |
| Marianne Stecklina | 3 | — | 2023 |
| Maxim Danilov | 3 | — | 2023 |
| Paolo Melchiorre | 3 | — | 2023 |
| Tobias Sterbak | 3 | — | 2023 |
| Valerio Maggio | 3 | — | 2023 |
| Mark Smith | 3 | — | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.